Introducing Support for Local AI Models in the Antigravity SDK

Google announced local-workflow support in the Antigravity SDK, initially optimized for running Gemma 4 26B A4B through Google AI Edge’s LiteRT, enabling developers to use agentic capabilities offline on local GPUs and memory. The update is positioned as a way to reduce API costs and rate limits, preserve privacy for sensitive code, maintain operation without reliable internet access, and support hybrid workflows that combine local and cloud models. Google recommends machines with more than 24 GB of VRAM or unified memory and provides setup instructions for installing the SDK, LiteRT-LM, and the model, then creating agents that can inspect files or generate and test software locally. A hybrid Architect-Builder demonstration uses Gemini 3.8 Flash to plan work from filenames and task descriptions while local Gemma instances audit, patch, critique, and test vulnerable Python modules, with 97.2% of tokens reportedly processed locally and no source code sent to the cloud. The SDK also supports practical local utilities, such as an agent-generated terminal resource monitor, and can connect to OpenAI-compatible local servers including Ollama, LM Studio, and vLLM without changing agent orchestration or workflows.

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